Machine Learning Engineer

🕒 March 31

🗽 New York – Remote

🗽 New York – Remote

💵 $170k - $212k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Spotify

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

📱 Media

👥 B2C

🛍️ eCommerce

Media • B2C • eCommerce

Spotify is a global audio streaming service company that offers its users access to a vast library of music and podcasts. Known for its focus on delivering personalized listening experiences, Spotify employs data scientists, engineers, and client partners across various global locations to continuously innovate and enhance its offerings. The company fosters a strong culture of diversity, equity, and impact, emphasizing belonging and inclusion in its workforce. Spotify is not only committed to shaping the future of audio entertainment but also to making a positive societal impact, with initiatives focused on social and environmental issues.

📋 Description

• Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify’s promotional performance with hands-on ML development • Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria • Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures. • Work with Data and ML Engineers to support transitioning machine learning models from research and development into production • Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability.

🎯 Requirements

• experience implementing ML systems at scale in Java, Scala, Python or similar languages • experience with ML frameworks such as TensorFlow, PyTorch, etc. • understanding of how to bring machine learning models from research to production • collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers • experience in optimizing machine learning models for production use cases • preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP • some exposure to causal ML models, including things like counterfactuals • familiar with creating model success metric dashboards, diagnosing production issues

🏖️ Benefits

• health insurance • six month paid parental leave • 401(k) retirement plan • monthly meal allowance • 23 paid days off • 13 paid flexible holidays • paid sick leave